Fraud Data Analyst - Sandton at Discovery Limited

Key Purpose

The key purpose of this role is to be able to extract and analyse data according to requirements set out by business. The main focus of the unit is to identify and detect potential fraud within the Discovery Insure business. The successful candidate will need to be able to mine large data sets to find and present new insights to business.

Areas of responsibility may include but not limited to

• Extracting data using Oracle PL/SQL
• Trend analysis
• Analysing data to identify outliers
• Producing accurate reports, dashboards and models
• Putting together PowerPoint presentations to present findings from analysis
• Managing relationships with risk management and forensics
• Exploring new methods of improving the Fraud analytics process

Personal Attributes and Skills

• Self-starter
• Ability to work under pressure and at fast pace
• A restless curiosity towards data and uncovering unknown fraudulent patterns
• Ability to work cohesively in a team environment and balance multiple priorities
• A team player who can work alone when required and without supervision
• High level of attention to detail, resilience, enthusiasm, energy and drive
• Positive, can-do attitude
• Ethical and able to maintain confidentiality and manage boundaries
• Aligned to Discovery values and core purpose

Education

• Matric
• Undergraduate 3-year degree in either Actuarial, Data Science, statistics, applied mathematics with some experience in the short term industry
• Other analytical qualifications will also be considered if accompanied by the relevant experience

Experience

• Experience in coding using Oracle PL/SQL
• Avanced excel (using formula such as VLOOKUP’s, pivot tables, cubes, VBA)
• Strong analytical skills
• Ability to work with, analyse and communicate findings from data (verbal and written)
• Experience using PowerBI or SASVA
• Exposure to statistical modelling would be beneficial